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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer - Data - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Experience:** Experienced - **Salary:** $150,400.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Data Analysis, App Store (IOS), Data Architecture, Extract Transform Load (ETL), Data Systems, Distributed Systems, Python (Programming Language), Machine Learning, Memcached, NoSQL, Object-Oriented Software Development, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Data Processing, Scripting, Data Storage Technologies, Apache Spark, Generative AI, Backend, Information Technology, Apache Flink, Cassandra, Data Analytics, Apache Kafka, Data Pipelines - **Published:** September 3, 2026 - **Apply:** https://www.themuse.com/jobs/apple/software-development-engineer-data-b2c975 ## About the Role Experience with workflow management tools: Airflow. Ability to learn and research new technologies rapidly. Passion for customer privacy and experience with applying data encryption and data security standards. Strong interpersonal skills and experience working on multi-functional projects. Experience developing large-scale backend storage systems. Minimum Qualifications 2+ years experience in developing ETL jobs for analyzing and processing high-volume data in Apache Spark, Flink, Kafka and Iceberg. Expert knowledge of one or more object-oriented programming languages (Scala/Java). Proficient at schema design, data modeling concepts and SQL. Excellent problem-solving and analytic skills. Ability to program in scripting languages such as Python. Experience using NoSQL solutions like Cassandra, Voldemort, Memcached. Experience with streaming and batch data processing. Experience with GenAI tools to enhance developer efficiency BS in Computer Science or Software Engineering. MS preferred. ## Description The Commerce Engineering team is looking for an experienced, hardworking and proactive software engineer to lead several data architecture and technical compliance efforts across the commerce landscape. Join our exciting engineering team that has been leading the digital distribution industry by constantly developing innovative features to grow and expand the iTunes Store, App Store, iBooks Store and services such as Apple Music, TV+ and Arcade. The position requires someone comfortable with all aspects of the software design lifecycle and experienced with high performance data distributed systems. If you thrive in a dynamic multi-functional environment and are able to shift with constantly evolving requirements and new technologies, you'll love it here! You will be an integral part of the team that is in an outstanding position to develop and build the commerce data platform. You will participate in the instrumentation and ingestion of events and collaborate with partners on data pipelines and datasets, ensuring that data is handled in a privacy-safe manner. This platform allows downstream customers to use the unified data foundation to achieve consistency, quality, and efficiency. You will have experience to design and implement large scale commerce datasets and backend services. Those data systems will be applied by many downstream teams for data analysis, metric reporting, data insights, model training and evaluation. You will implement data storage solutions that scale, enrich and surface data quality and pipeline metrics. In addition, you must be able to investigate and adopt new technology, be comfortable working in a fast-paced environment, and have a "can-do" attitude Responsibilities: Develop scalable data pipelines and storage solutions for high-volume commerce data Ensure data quality, reliability, and observability (metrics, monitoring, validation) Enable downstream use cases: analytics, reporting, insights, and ML model training/evaluation Optimize data accessibility and performance for multiple teams Evaluate and adopt new technologies to improve systems Work effectively in a fast-paced environment with a proactive, execution-focused mindset ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)